MLB Batting Splits 2025
Performance splits by handedness, home/away, and situational categories.
| Player | Team | Split | AB | H | HR | RBI | AVG | OBP | SLG | OPS ▼ |
|---|---|---|---|---|---|---|---|---|---|---|
 |
April | 78 | 21 | 4 | 12 | .269 | .374 | .474 | .848 | |
  |
July | 57 | 18 | 1 | 8 | .316 | .391 | .456 | .847 | |
 |
July | 56 | 16 | 2 | 4 | .286 | .365 | .482 | .847 | |
 |
May | 99 | 32 | 1 | 7 | .323 | .402 | .444 | .846 | |
|
July | 93 | 25 | 6 | 13 | .269 | .330 | .516 | .846 | |
 |
September | 43 | 12 | 1 | 4 | .279 | .380 | .465 | .845 | |
|
Last 30 Days | 76 | 22 | 3 | 12 | .289 | .357 | .487 | .844 | |
 |
Last 15 Days | 34 | 11 | 0 | 6 | .324 | .432 | .412 | .844 | |
 |
Last 15 Days | 33 | 9 | 2 | 12 | .273 | .297 | .545 | .843 | |
|
Last 15 Days | 48 | 12 | 4 | 9 | .250 | .280 | .563 | .843 | |
|
August | 87 | 25 | 4 | 10 | .287 | .360 | .483 | .843 | |
|
July | 84 | 24 | 5 | 10 | .286 | .319 | .524 | .842 | |
|
May | 87 | 24 | 2 | 13 | .276 | .429 | .414 | .842 | |
 |
August | 19 | 7 | 0 | 2 | .368 | .368 | .474 | .842 | |
|
June | 96 | 29 | 5 | 16 | .302 | .320 | .521 | .841 | |
 |
August | 86 | 22 | 6 | 17 | .256 | .305 | .535 | .840 | |
 |
March | 14 | 4 | 0 | 2 | .286 | .412 | .429 | .840 | |
|
September | 90 | 26 | 3 | 12 | .289 | .340 | .500 | .840 | |
|
June | 78 | 24 | 3 | 7 | .308 | .353 | .487 | .840 | |
|
Last 30 Days | 55 | 14 | 5 | 8 | .255 | .293 | .545 | .839 | |
|
September | 55 | 14 | 5 | 8 | .255 | .293 | .545 | .839 | |
|
May | 112 | 37 | 4 | 13 | .330 | .375 | .464 | .839 | |
  |
Last 15 Days | 31 | 11 | 1 | 3 | .355 | .355 | .484 | .839 | |
|
May | 76 | 25 | 2 | 10 | .329 | .378 | .461 | .839 | |
|
September | 45 | 11 | 4 | 10 | .244 | .261 | .578 | .839 | |
|
Last 30 Days | 52 | 14 | 2 | 11 | .269 | .339 | .500 | .839 | |
|
June | 24 | 7 | 1 | 6 | .292 | .379 | .458 | .838 | |
 |
September | 79 | 19 | 6 | 10 | .241 | .344 | .494 | .838 | |
|
May | 25 | 7 | 1 | 1 | .280 | .438 | .400 | .838 | |
|
May | 80 | 23 | 3 | 11 | .288 | .326 | .513 | .838 | |
|
Last 30 Days | 104 | 30 | 4 | 19 | .288 | .327 | .510 | .837 | |
|
Last 7 Days | 13 | 3 | 1 | 1 | .231 | .375 | .462 | .837 | |
|
June | 37 | 12 | 1 | 1 | .324 | .405 | .432 | .837 | |
|
May | 67 | 16 | 5 | 10 | .239 | .329 | .507 | .836 | |
 |
Last 7 Days | 21 | 6 | 1 | 3 | .286 | .360 | .476 | .836 | |
|
April | 106 | 37 | 1 | 11 | .349 | .391 | .443 | .835 | |
 |
September | 85 | 25 | 2 | 13 | .294 | .400 | .435 | .835 | |
|
April | 43 | 14 | 1 | 3 | .326 | .370 | .465 | .835 | |
|
March | 15 | 3 | 1 | 1 | .200 | .368 | .467 | .835 | |
|
June | 85 | 23 | 4 | 12 | .271 | .422 | .412 | .834 | |
 |
April | 97 | 26 | 6 | 20 | .268 | .339 | .495 | .834 | |
 |
August | 90 | 26 | 3 | 17 | .289 | .377 | .456 | .833 | |
|
June | 98 | 29 | 3 | 13 | .296 | .343 | .490 | .833 | |
|
March | 16 | 5 | 1 | 3 | .313 | .333 | .500 | .833 | |
|
Last 30 Days | 100 | 22 | 8 | 18 | .220 | .333 | .500 | .833 | |
|
July | 88 | 28 | 3 | 18 | .318 | .367 | .466 | .833 | |
|
April | 94 | 20 | 7 | 23 | .213 | .321 | .511 | .832 | |
|
April | 114 | 32 | 6 | 22 | .281 | .297 | .535 | .832 | |
|
July | 95 | 29 | 1 | 15 | .305 | .389 | .442 | .831 | |
|
June | 93 | 31 | 1 | 12 | .333 | .390 | .441 | .831 |
Understanding Monthly Splits
Monthly splits track a hitter's performance across the season. April through October each bring different conditions — weather, fatigue, roster composition, and pitcher workload all shift as the season progresses. Identifying hot and cold streaks is essential for in-season DFS and betting.
Early Season (March-April)
Cold weather suppresses offense league-wide. Pitchers are often fresher and throwing harder. Small sample sizes make early-season splits volatile — a 10-game hot streak in April can produce a misleading .400 AVG. Weight these splits cautiously until June.
Peak Season (May-August)
Warm weather boosts offense, and sample sizes become meaningful. By July, monthly splits reveal real trends — a hitter who consistently rakes in summer months is a reliable warm-weather producer. August fatigue can affect some players, especially catchers and older veterans.
Stretch Run (September-October)
September roster expansions change matchup dynamics. October splits only apply to playoff teams. For DFS and betting, September splits are useful for identifying hitters who finish strong under pressure — these "second-half" hitters are often undervalued by the market.
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Data Source & Methodology
Batting splits sourced from MLB Stats API. Stats reflect current season data and update daily as games are played.
Frequently Asked Questions
- Are monthly batting splits predictive?
- Monthly splits are more descriptive than predictive for individual months. However, consistent patterns across multiple seasons (e.g., a hitter who always rakes in July-August) can signal real tendencies. Use monthly splits to identify hot streaks and cold spells within the current season rather than predicting future months.
- Why do hitters perform differently by month?
- Weather is the biggest factor — cold April air suppresses fly balls, while summer heat helps the ball carry. Pitcher fatigue accumulates over the season, often boosting hitter stats in August-September. Some hitters also have personal patterns tied to conditioning, injury history, or mechanical adjustments.
- How should I use monthly splits for DFS?
- Use current-month splits to identify who is hot right now. A hitter slashing .350/.400/.600 in the current month is likely seeing the ball well and making hard contact. Combine monthly form with matchup data for the strongest DFS plays. Don't chase month-old hot streaks that have already cooled.